In short
Podcast Episode Notes: NVIDIA CEO Says AI Shouldn’t Replace Jobs…Here’s Why
Podcast Overview
- Title: Marketing School - Digital Marketing and Online Marketing Tips
- Hosts: Neil Patel and Eric Siu
- Description: Daily actionable digital marketing lessons from experienced marketers. Covers SEO, content marketing, social media, email marketing, conversion optimization, and general online marketing strategies.
- Episode Downloads: Approaching 100M with 2,500+ episodes.
- YouTube Channel: Marketing School Youtube channel for additional marketing insights.
Episode Summary In this episode, Neil Patel and Eric Siu discuss Jensen Huang's (CEO of NVIDIA) perspective on the role of AI in the workplace, particularly addressing the narrative around layoffs and the efficiency of AI. The hosts analyze the implications of Huang's statements and provide insights into how companies can leverage AI to enhance productivity rather than replace jobs.
Key Concepts and Discussions
AI and Job Layoffs
- Huang's Assertion: Companies using AI as a justification for layoffs is misguided. Instead, AI should be viewed as a tool to enhance productivity.
- Critique of Layoffs: Many companies (e.g., Block, Atlassian) claim layoffs are due to AI, but the hosts argue that this is often a smokescreen for poor business performance and lack of growth.
- Example: Block's growth has been notably sluggish, leading to reductions in workforce that are framed as efficiency gains from AI.
The Growth Mindset
- Productivity vs. Layoffs: Companies should focus on maximizing output and growth through AI rather than adopting a negative approach that involves cutting jobs.
- Human Element in AI: While AI can help improve efficiency, human judgment and creativity remain essential for sustaining growth.
- Adopting AI with a Positive Outlook: Organizations should aim to utilize AI to improve performance and expand capabilities rather than cutting costs.
Marketing Insights
- Boring vs. Exciting Channels: The hosts argue that businesses should focus on foundational, often overlooked marketing channels rather than the flashy ones.
- Effective marketing often involves practical strategies, including SEO and leveraging platforms like ChatGPT, instead of relying solely on high-profile campaigns.
- AI Applications in Marketing: AI tools should be used to streamline processes and enable teams to work more efficiently.
- Emphasis on marketing teams wanting to use AI to enhance productivity, rather than replace staff.
Future of Work and AI Strategy
- Integration of AI: The conversation includes the need for companies to adopt a ‘claw strategy’ (the use of AI agents) to improve operational efficiency.
- AI Fluency: Employees must develop fluency in AI tools to remain competitive and avoid redundancy in the job market.
Conclusion
- End-to-End Solutions: Future AI applications should focus on providing comprehensive solutions that execute tasks autonomously while allowing humans to oversee and guide the process.
- Call to Action: Businesses must embrace a growth mindset, utilizing AI as a partner for efficiency rather than viewing it as a threat to jobs.
Final Thoughts The episode highlights a critical discussion on the implications of AI in business and marketing. It encourages a shift in perspective on how AI can be leveraged to enhance productivity, rather than a tool for job cuts. Companies are urged to foster a collaborative relationship with AI, reflecting on the importance of human intuition and judgment in conjunction with technological advancements.
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These notes provide a comprehensive overview of the episode's discussions, emphasizing the key arguments and takeaways from Neil Patel and Eric Siu regarding the intersection of AI, productivity, and marketing.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOAI and Job Layoffs Discussion
0:45 to 2:52
Exploring Jensen Huang's views on AI and its impact on job layoffs.
“We also talked to a lot of our founder friends as well.”
Growth Mindset vs. Layoffs
2:52 to 4:55
Debate on whether layoffs are truly due to AI or other market factors.
“Yeah, so my thoughts are just to respond to Jensen's quote on laying off people is misguided with AI, like you should be doing more with more.”
Marketing Strategies in the AI Era
4:55 to 7:09
Discussion on how marketing professionals view AI as a tool for growth rather than layoffs.
“And we are here to make you look good too.”
The Future of Work with AI
7:09 to 9:30
Discussion on integrating AI into business operations and team dynamics.
“Like getting listed on chat GPT and then it driving traffic and then you're getting customers from that.”
NVIDIA's Business Insights
9:30 to 11:25
Insights into NVIDIA's diverse business operations beyond chips.
“It connects data centers to data centers.”
The Importance of Claw Strategy
11:25 to 14:04
Discussing the significance of claw strategies in modern software companies.
“and what it can do for businesses more than, you know, like Claude Claude, not because of those commercials.”
The Future of Marketing Automation
14:04 to 15:22
Explore how automation tools are changing marketing workflows.
“They're tired of analyzing things on their own and figuring out what to do.”
Choosing the Right Tools for Efficiency
15:22 to 16:46
Learn the importance of selecting cost-effective solutions in marketing.
“And I would recommend doing that than running an open cloud instance and having to deal with bugs or issues or anything like that.”
End-to-End Solutions in Marketing
16:46 to 17:14
Understand the benefits of using comprehensive marketing solutions.
“It's not only going to do a data pool, but if it can execute for you end to end where you just have to review the work, that's why Jensen is saying this is so important because that changes how we work across the board.”
Transcript
Automatic transcript. May contain errors.0:00Eric Siu:Using only 20 % of your business data is like dating someone who only texts emojis. First of all, that's annoying. And second, you're missing a lot of context. But that's how most businesses operate today, using only 20 % of their data. Unless you have HubSpot, where all the emails, call logs, and chat messages turn into insights to grow your business. Because all that data makes all the difference. I would know because I use HubSpot at my company. Learn more at HubSpot.com.
0:29Neil Patel:I think Jim Cramer did an interview with NVIDIA CEO Jensen Huang.
0:33Eric Siu:You know what he said? So Jensen's like, I think a lot of people are misguided that people are laying off people because of AI. And he's like, why would you not try to do more with more? And so I thought this would be interesting for us to react to because you and I are, we have our organizations. We also talked to a lot of our founder friends as well. We know a lot of people. And so I think it's interesting. He's like, if you're able to do more, why would you not do more? And here's the thing. I told you a week ago or so, I am probably clocking 12 to 14 hours a day, but I don't feel like I'm working.
0:59Eric Siu:Like I work until my eyes hurt like hell and then I go to sleep and I wake up again and then they hurt like hell and I go to sleep. But I think the difference is Neil, like you said, you don't want to work like you did before. I don't feel like I'm working like I did in my twenties. I just feel like it's, it's almost like when I was a teenager, when I was addicted to video games and I just played until my eyes hurt. So anyway, what do you think about Jensen's quote?
1:18Neil Patel:I agree with him. I think, so there's a lot of companies that have been using A as a narrative for layoffs. Block uses it. Atlassian uses it. I think it's a bunch of lies. That's just my own personal opinion. I have no data to back this up. I don't think if you're Block, you eliminated 40 % of your employees because of AI. I think you eliminated 40 % of your employees because the business is barely growing. If you look at the last few earnings, you can see it. It's in the single digit percentile in growth. They're not doing that well from a growth standpoint. And if you had to tell the stock market, hey, we're going to lay off a lot of people because our growth isn't what we wanted.
1:55Neil Patel:And to clarify on the growth, if you look at their December 2025 numbers, quarter over quarter from the previous year, 3.65 % growth. Annually 2025, they grew 0.3%. 2024 was 10.6%. In essence, growth has drastically been slowing down. 2022 is negative 0.73. 2021, blockbuster year because of COVID, right? 85%. But the point I'm getting at is like, growth has definitely slowed down. If you're not even growing at 1%, what are most of the people in your organization doing? Cut them. I get it. But you can't tell the market, hey, we overhired. We thought we were going to keep growing at 85 % a year.
2:31Neil Patel:We didn't. So we had to lay a lot of people off. That's like doom and gloom and people are just going to crush your stock for that. On the flip side, if you say, hey, with AI, we're more efficient, we're able to lay have 40%. That narrative sounds better to the public markets, even though they're both doom and gloom in theory, because you're laying off humans and affecting their livelihoods. But I don't believe that AI story is true. I'm assuming you agree with that? Or?
2:56Eric Siu:Yeah, so my thoughts are just to respond to Jensen's quote on laying off people is misguided with AI, like you should be doing more with more. I do agree with that point. I think, yes, your best people are trying to do more with more guaranteed, like, you know, all the people that we talk to. Right. And so I will say though, like the, the AI fluency piece is also very important, right? I think the ones to Neil's point, yes, there is a whole narrative. Like I do think people overhired, they can't bring that narrative to the market. Like, you know, they have investors, shareholders and all that.
3:23But I do also think that the people that we talked about the two by
3:27Eric Siu:two with the slop cannons, a good, you know, poor judgment is, you know, you're going to either not have a job if you're not using AI, but if you are using AI, plus you have bad judgment, you're a slop cannon, right? I think it's that quadrant that's unfortunately going to be cut. Whereas I think the other people are going to do more with more and they're going to work harder. And I do think people get to chill more too. Like some people are going to choose to chill more. That's fine. But there's caveats to it, but I do agree in principle.
3:50Neil Patel:Yeah. And I also believe that if you're not thinking about it in a productive way versus thinking about a negative doom and gloom, you're also not going to do well in this new world. Because if you just break it down from a marketing aspect. All right. And we can talk marketing divisions because Eric and I deal more with marketing than any other divisions. I don't know anyone in marketing who's like, I can't wait to fire all my people. Most people are like, I can't wait to use AI so we can get more productive, grow faster and beat our competition. The narrative is always do more, not do less. And to do more, yes, you need AI, but you also need the humans.
4:25Neil Patel:And a lot of people that I know in marketing are like, man, if we can do more and grow faster, then we can even scale more, hire more people, grow faster, expand more internationally, add more products. And that's the correct mindset that companies should have, right? From a growth mindset, it's about how can you do more, not how can you do the same with less?
4:44Eric Siu:By the way, that's the stuff that we're pitching with our agents and then our AI dashboards and all that. It is not to say, oh, we're here to replace people. No, we are here to help people, everyone become like a top 10 % performer, okay? And we are here to make you look good too. So if you do that, if you sell in that way versus saying, oh, we're here to replace people, that's not going to be a good sell, right? Because the people using your stuff, they're not going to want to hear that. So you have to take that into mind. That's not a good narrative. Yeah.
5:09Neil Patel:If you're like, we're going to replace half your department, good luck getting them to approve the budget or the contract.
5:15Eric Siu:Yeah. Yeah. But I think when you're like, by the way, like I'm so dumb. I was talking to my sales team yesterday. I was messaging them individually and my agents have invaded Slack and they're working with the team. It's helping with data pull strategies. It's helping with execution as well. And I noticed in the channel, they're talking like they're talking a lot with these things. So I'm just curious. I'm like, what value are you getting from this right now? I'm just trying to get them to quantify it. They're like, we're saving at least individually 20 hours, if not maybe 30 hours a week on this stuff.
5:39Eric Siu:And I'm like, how much do you think this is like, how much do you think companies would pay for this a month? They're like at least 5 ,000 a month. And they each set it individually. Right. But the key thing is they're talking to these agents a lot and they're getting the value from it. And I'm like, Oh, like we have all these other agents and all that, but I'm like the agents inside of Slack, I think is a major unlock that everyone should do. We're actually pushing to sell that now, like as a base to everything that we're doing. So I think that's going to be the future of work because, you know, if you have an infinitely patient bot that's working with people, it's coaching people.
6:07Eric Siu:It's also helping with performance management as well. I think your team, your entire team scales a lot faster. So literally my team right now, as we're recording, they're doing a hackathon right now. And I said, I sent a message to the entire team today. I was like, Hey guys, don't try to build these dashboards for humans to use. You want to build stuff that's agentic and you want to build stuff that does the work for you. You want to not do the robot work. So be lazy, but be smart. And that was the message. So hopefully they do that. We'll see what happens.
6:30Neil Patel:Hopefully. And you nailed it with dashboards. People don't want dashboards. They just want AI to do it and be like, we did it. Here are the results. Now look at this data and analyze it. It's like, well, you show me a dashboard, just analyze it and tell me and fix it. And then tell me the results. That's really what people want, even though not everything is possible in today's world. That's the ideal outcome that people want. On a side note, if you had to pick the two LLMs that are going to be the best for generating B2B customers, which ones do you think they're going to be?
6:59Eric Siu:The best LLMs for generating B2B customers. I would go Anthropic first, just because I love them. And when you say generating customers, what do you, in like, what context?
7:09Neil Patel:Like getting listed on chat GPT and then it driving traffic and then you're getting customers from that.
7:14Eric Siu:Oh, okay. As a channel.
7:15Neil Patel:As a channel. Yes. Yeah. To be clear. So what would
7:17Eric Siu:be your number one and number two right now i still go chat gpt because they're they're they're big i don't know if i would pick anthropic as number two i might pick oh gemini i'll go chat
7:26Neil Patel:gpt and gemini so we're very similar i wouldn't do chat gpt i believe number one's going to be gemini and number two is going to be copilot and the reason being is wherever i go to talk at events because i typically speak to larger corporations dude almost everyone is pivoting away from chat gpt and using gemini and copilot you want to guess why they're free bingo So they're like, we already paid for it. It's included. They don't want to spend more money. It doesn't matter if they like Gemini or Copilot more. Cheaper or free typically wins in organizations in the long run. If you don't believe me, you know, when I talked to Heathen, he's like, dude, you use Teams for calls?
8:02Neil Patel:He's like, no one in the Bay Area use Teams. We all use Zoom. And I'm like, no companies I talk to use Zoom. Almost every corporation uses Teams. He's like, what about Slack? And I was like, I'm like, we use Teams. He's like, you guys don't use Slack? I was like, no. He's like, every startup uses Slack. I'm not saying big corporations don't use Slack or don't use Zoom, but the majority use Teams, even if it's not as good of a product because it's just free and it's included in the bundle. It's just cheaper financially.
8:26Eric Siu:Dude, you want to talk about bundle? Okay, so obviously NVIDIA had their big conference this week, right? And I think Jensen probably spent 20 minutes talking about OpenClaw. So I'll talk about that in a second. But I think there's a genius marketing play here. So what he has is NemoClaw, which is their enterprise version of OpenClaw. So they partnered up with OpenClaw here. What I think is genius is we're setting up NemoClaw for our clients right now because they want security and all that, right? And we're like looking through it. It's like, dude, you cannot operate it on like an Apple device or you have to buy NVIDIA.
8:55Eric Siu:You have to use NVIDIA hardware only if you want to use Nemo Claw. There's only two options for enterprise grade Claws right now. It's the Amazon has a version, but then you have to use their tech and then you have NVIDIA's version, but it locks you into the ecosystem. And because they're the front runners on this and they're gonna spend like$26 billion or something on their own models. I think that's a genius marketing play because it's, what do you call it? You want to call it ecosystem lock-in. That's what they have.
9:20Neil Patel:Dude, you know NVIDIA makes, most people say NVIDIA makes all their money from chips, right? That's what I think everyone would say. Do you know what their second biggest business is and it may overtake the chip business one day?
9:31Eric Siu:Software?
9:32Neil Patel:No. NVIDIA's networking business. It connects data centers to data centers.
9:37Eric Siu:Oh, that makes sense.
9:38Neil Patel:It's growing at 267 % a year. It did 11 billion in revenue last quarter. just in one quarter 11 billion growing at 267 per year that makes sense like by the way i i think you
9:52Eric Siu:and i can start to see this now where i'm like i need to start to buy you know physical infrastructure to like which is weird because like we thought everything went to the cloud but i'm like and that means nvidia is going to grow even faster the data center revenue by the way you want to talk about data centers like sometimes you just ride the wave of an industry so remember you met you met this guy before i'm not going to name names but he bought a furniture company and then he repurposed that furniture company, like a general purpose furniture company to just build furniture for data centers.
10:19Eric Siu:The revenue just shot up to like nine figures. It was like nothing before. Sometimes you ride the wave and yeah, you just kind of take it from there.
10:26Neil Patel:Dude, I'm with you. I've been talking to a lot of people about the monies in the boring and ugly. And I'm in France right now. One of their amazing companies in France is LVMH. So people are like, LVMH, it's a sexy company. It's cool. And when you look at LVMH, I believe they do around 80 billion a year in revenue. I'm like, NVIDIA is pulling in roughly$42.96 billion, I believe, in net income per quarter at this point. So they're going to do around like 170-ish billion in profit a year, right? So I was just like, NVIDIA is not like a sexy company compared to a lot of these watch companies or designer clothes companies.
11:03Neil Patel:The general population does not care about NVIDIA. I'm assuming almost everyone will agree with that. And the same goes in marketing. Everyone always tells me like, look at this beautiful commercial I did. You know, like with Claude, the Claude's creative commercials to me were beautiful, right? When they were talking about open AI and how they won't have ads, you know, or ChatGPD has ads and they won't have ads. But Claude's not popular because of that. Claude is popular or Anthropic is popular organization because of Claude specifically and what it can do for businesses more than, you know, like Claude Claude, not because of those commercials.
11:34Neil Patel:And in marketing, a lot of the money goes to like cool, sexy channels and campaigns. time and time again. Every time I ask people who run Super Bowl commercials, like I was with a company that I sent to NDA. They're a D2C company. They grew really fast. They're really large now. They sell their products in stores. They ran a Super Bowl commercial. And I asked the guy on the phone, I'm like, so what did it do to your sales? He's like, nothing. He's like, we didn't see any movement. But they did it for brand exposure. And I get it at their size. I get why they did it. But again, the money's not in the sexy.
12:05Neil Patel:The money's in things like Amazon marketing on the marketplace, if you're D2C or GEO and getting CatGPT to recommend your business, whether you're D2C or B2B or ranking on Google or doing Google ads or optimizing TikTok. So then that way, the shopping experience, when people see your products there, they buy on TikTok or Instagram. Again, these aren't sexy, but this is the stuff that moves the needle and people need to start going back to the ugly, boring stuff versus the cool hip stuff.
12:32Eric Siu:Well, speaking of the cool hip stuff i want to come back to the the thing we're just talking about right now so jensen saying that every software company in the world needs to have a claw strategy okay and i i do think a lot of companies are converging into becoming software companies not i mean physical companies maybe not so much not like lvmh but i think that part is interesting to me because i just i see the evolution in the company right now where people are just they're talking to these claws like they're actual partners and getting things done again data pool strategies actual execution and so i think that the fact that he said that and he spent 17 minutes of his talk time on it, I think is really interesting.
13:09Eric Siu:And I don't know, like, what are you feeling about this right now? Have you played with it or no?
Read the full transcript
13:13Neil Patel:I have not played with it personally. I've seen it from my team and them sharing the results. There was a marketing tool that went viral on X, I think in the last week or so. It had 12 million views when I saw it. I was traveling, but I saw it. And it was something that like first AI CMO, it'll do all your SEO for you and all this.
13:31Eric Siu:It broke a lot.
13:34Neil Patel:So people weren't happy. You can play with it and judge on your own. But I was talking to my team and I've been talking to my team about this narrative since middle of last year. And I keep telling them, you know, an open claw does it because open claw actually takes action for you. Like people talk about agents, but they don't understand how agents work or practically use cases. Open claw can go and do everything for you as an agent, right? It just goes and executes and then it brings you back the end result. People, when they're paying a company or paying a software solution, I believe they're tired of dashboards.
14:05Neil Patel:They're tired of reports. They're tired of analyzing things on their own and figuring out what to do. Even if you give them a list, they just want more of a chat style interface being like, and listing out, here's what's wrong. We're going to fix this in this priority. Here's the estimated results. Is this a proof for us to fix? Yes. Oh, we can't fix because we're not connected with your WordPress. Click here to connect with your WordPress. Boom. Oh, we want to track your results, integrate with your Google Analytics. Click here, we'll do the rest for you. And it just goes and does everything for you.
14:33Neil Patel:I think that's really the future of a lot of the internet and businesses and even marketing. I think like it's, you can pay softwares to do outreach for you. Like for the RightSonic guy, founder was showing me how he's using OpenClaw to do outreach for influencers. So he would hit up 400 and something influencers. It would bid on his behalf. He gave it a max budget. It would have to go to him for approvals all the time. So it was going back and forth in Telegram. He got five approved out of it. The campaigns went live. I don't have the results from the campaigns. He didn't share that, but he shared how he did all of this with OpenClaw and it's pretty quick.
15:06Neil Patel:And you're going to start seeing more things like that. Now that result is a little bit skewed because there's already software companies that do that for you before OpenClaw that you can just pay$20 for per month. And he may have spent more than$20, you know, spinning this up with servers and stuff like that. So I think at the same time, even though we're looking to automate a lot of marketing, people need to also not get carried away and reinvent the wheel through AI when there's already solutions that do it for you that are cheaper. And I would recommend doing that than running an open cloud instance and having to deal with bugs or issues or anything like that.
15:39Eric Siu:Yeah, that's actually a key thing. So even though I talk about this stuff, it's like, hey, if you can find a solution that's 50 bucks or 100 bucks and it does it, like don't try to engineer this stuff. But for the things that you don't want to do, so I'll share my screen real quick. So I was playing around with this last week, I think. So what I have on the screen over here, this is Instantly, which allows you to create email inboxes, allows you to send emails, things like that. Just think of it as email infrastructure. I was like, well, I don't want to make all these email domains. I don't want to figure out what's available, what isn't.
16:07Eric Siu:I also don't want to come up with the names as well. So this actually made, it's like it came up, it figured out the naming convention. So we have the company name and also like a modifier at the end. It's like clickflowgrowth.com, carrotreach.com. And it went, it bought all these domains. Okay. It started warming them up with it instantly. And not only that, Neil, it started to write the sequences too. And so it's like, okay, you know, hi, first name, here's what we'll do over here. We'll analyze your presence at no cost, whatever it is exactly. Want me to run the analysis. And so it's just testing this.
16:38Eric Siu:We're starting to test it as of like Monday on this one, but it's already working for us on the recruiting side. And so my point is we're talking end-to-end solutions. Neil just mentioned that the key thing here with any of these claws is that it can do the work for you end to end. It's not only going to analyze for you. It's not only going to do a data pool, but if it can execute for you end to end where you just have to review the work, that's why Jensen is saying this is so important because that changes how we work across the board. So Nemo Claw, Open Claw, whatever it is that you use exactly, that's why he's like, it is the most important piece of open source software ever.
17:12Eric Siu:And that's from his mouth, not mine. and guys test at your own risk because you don't want to burn everything. So don't just connect it to everything and like give it all your financials and your credit cards and all that. That's not going to be good for you. So all that to say, guys, that is it for today. And we'll see you tomorrow.
From the publisher
In this episode, we react to a bold take from Jensen Huang on why AI shouldn’t be used as an excuse for layoffs—and instead should be a tool to do more with more. We break down the real reasons companies are cutting jobs, why the “AI efficiency” narrative is often misleading, and how top performers are using AI to scale output rather than replace people. We also dive into what’s actually driving growth today, from optimizing for platforms like ChatGPT to the overlooked power of boring but effective marketing channels, and why the future belongs to teams that combine AI fluency with strong judgment.

